Convolutional Neural Networks (CNN): Designed primarily for analyzing visual data, such as images, and videos, CNNs include a special type of layer known as the convolutional layer that helps ...

Convolutional Neural Networks (CNN) are the most advanced tools for image recognition and are inspired, at least in part, by the functioning of the mammalian visual cortex. A CNN consists of multiple ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

Knowing a little more about how biological vision works can help students to recognize what’s behind the arc of computer ...

However, current dual-channel graph convolutional neural networks are limited by the number of convolution layers, which hinders the performance improvement of the models. Graph convolutional neural ...

Network architectures and learning principles have been critical in developing complex cognitive capabilities in artificial neural networks (ANNs). Spiking neural networks (SNNs) are a subset of ANNs ...